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P. Michael Furlong

4 accepted papers

2019

Belief Space Planning for Reducing Terrain Relative Localization Uncertainty in Noisy Elevation Maps

ICRA 2019poster

Accurate global localization is essential for planetary rovers to reach mission goals and mitigate operational risk. For initial exploration missions, it is inappropriate to deploy GPS or build other infrastructure for navigating. One way of determining global position is to use terrain relative nav…

Cited by 4SourceScholar
2019

Everybody Needs Somebody Sometimes: Validation of Adaptive Recovery in Robotic Space Operations

RA-L 2019

This letter assesses an adaptive approach to fault recovery in autonomous robotic space operations, which uses indicators of opportunity, such as physiological state measurements and observations of past human assistant performance, to inform future selections. We validated our reinforcement learnin

Cited by 14SourceScholar
2018

Failure is Not an Option: Policy Learning for Adaptive Recovery in Space Operations

RA-L 2018

This letter considers the problem of how robots in long-term space operations can learn to choose appropriate sources of assistance to recover from failures. Current assistant selection methods for failure handling are based on manually specified static lookup tables or policies, which are not respo

Cited by 13SourceScholar
2016

Safeguarding a lunar rover with Wald's sequential probability ratio test

ICRA 2016

The virtual bumper is a safeguarding mechanism for autonomous and remotely operated robots to conservatively avoid collisions even in the face of sensor uncertainty. In this paper we take a new approach to the virtual bumper system by applying a powerful but rarely examined statistical test. By usin

Cited by 1SourceScholar